Stardust is tackling the wrong problem with the wrong structure

By David Keith | April 30, 2026

In late 2025, Stardust, a for-profit startup, announced it had raised $60 million in venture capital funding to develop a proprietary system for solar geoengineering. The company’s mission is to commercialize sunlight reflection methods (SRM) by deploying specially engineered, “chemically inert” (i.e., safe) particles into the stratosphere via custom aircraft. This is a system that Stardust claims could be operational by the start of the next decade.

I want to see a technically detailed plan for the early deployment of sunlight reflection using sulfur in the stratosphere. Such a plan should extend from materials handling and dispersal from aircraft, through monitoring hardware, data assimilation, and the feedback controls needed to ensure that deployment achieves a goal such as ramping up cooling at a rate of 0.1 C per decade—roughly halving current warming—while maintaining hemispheric balance.

I want this plan to be detailed and public. Such a plan would inform decisions about governance and deployment. A critical review of SRM requires such a plan.

The SRM research community is doing an inadequate job of producing such a plan. So, there is an unmet need.

Stardust has a strong technical team with systems engineering expertise that could address this need. Yet I don’t expect Stardust to meet this need, first because as an opaque, for-profit company, it has the wrong structure; and second, it’s focused on the wrong problem.

Daniele Visioni and I argued that Stardust has the wrong structure in our 2025 op-ed in MIT Technology Review; proprietary technology and profit motives are directly at odds with the transparency needed to legitimize SRM research. As we said, “trust will be the most important single ingredient in making these decisions. And trust is the one product for-profit innovation does not naturally manufacture.” That is why I want to see a public not-for-profit doing this work instead.

Here I argue that Stardust is focused on the wrong problem. Stardust seems focused on finding an alternative aerosol that is better than sulfates. Yet the direct risks of sulfur—as opposed to other SRM aerosols—are quantitatively small and well understood, whereas the solutions Stardust advances are all-but-certain to introduce new unknown unknowns, which might entail potentially large, unanticipated risks.

As I see it, the main attraction of Stardust rests on two assumptions1:

  1. Sulfur is a risky way to do SRM, so there’s a big benefit in finding particles that are less dangerous than sulfur.
  2. If an SAI aerosol was made from something non-toxic it would be safer than aerosol made from sulfate.

Let’s start with assumption #1. Suppose one could completely remove the direct health impacts from the sulfate aerosols injected into the stratosphere? Suppose there were a magic aerosol that causes zero environmental or health impacts as it makes its way down to the ground and into lungs and ecosystems. How much would this change the risk of SRM?

Not much.

While SRM will impact human health though changes in air quality, sulfuric acid’s direct contribution to that harm is surprisingly small.

Seb Eastham’s 2018 paper showed that the direct impacts of sulfate SRM on air quality are small compared to the indirect effects of the SRM’s cooling and other climate change on air quality.

The amount of aerosols in the air we breathe is most commonly measured as PM2.5, the total mass in micro-grams of all aerosol particles smaller than 2.5 µm in each cubic meter of air.

The epidemiological evidence that aerosol particles are unhealthy is very strong. Very roughly, this data shows that if you are exposed to an extra ~30 µg/m³ of PM2.5 your life expectancy decreases by about a year.

We expect that aerosols added to the stratosphere will make their way to the surface atmosphere and add to PM2.5 causing harm. Seb Eastham aimed to quantify this impact of SRM. To his surprise, he found that while stratospheric aerosols descending to the surface did contribute to PM2.5, that contribution was small compared to the increase in PM2.5 caused by cooling. Why did cooling make more PM2.5? Mostly because it increased the amount of nitric acid in aerosols, nitric acid that mostly comes from industrial emission of NOx. (For more details see section 3.2 of Seb’s paper.)

Now, a new study from Daniele Visioni’s group using more modern methods has confirmed that result.

Assumption #1 is therefore false. It would be great to eliminate the direct air quality impacts of sulfate SAI aerosol, but these impacts are quantitatively small compared to the indirect effects of SRM on air quality.

Context matters: air quality impacts do not seem to be seen as a leading concern about SRM. (See my list of concerns here). Moreover, the combined impacts of sulfate SRM on human health counting aerosols (PM2.5), ground level ozone, and increased UV caused by damage to stratospheric ozone, are at least 10X smaller than the health benefits of SRM in the form of reduced deaths from heat. See Tony Harding’s paper in PNAS, and our commentary.

Onto assumption #2. If an SAI aerosol was made from something organic and “non-toxic,” it would be safer than an aerosol made from sulfate. This statement seems so obviously true as to be inarguable. Drink a glass of sulfuric acid and you die; eat a tablespoon of flour and you’re fine. Of course, an SAI aerosol made from organic, edible food-safe material would be safer than an aerosol made of sulfuric acid, right?

Maybe not.

Materials that are safe to eat or drink can sometimes be dangerous if inhaled. Wheat flour is safe to eat (unless one is intolerant). Yet inhaling half micron wheat-flour aerosol particles is dangerous.

The health hazards of aerosol particles cannot be deduced from the biocompatibility or toxicity of the materials out of which they are made.

While there are well established protocols for testing the safety of materials ingested in food or drink, there are no similar protocols for testing aerosol safety, particularly not chronic exposure to low concentrations of aerosols.

In many environments, sulfate is a good fraction of total mass of PM2.5, so regulations have pragmatically focused on sulfates.

But that does not mean that it’s the sulfuric acid in the aerosols that is causing harm. Despite decades of studying the health effects of PM2.5, scientists are still uncertain about what specific components of particulate matter are causing the harm.

Evidence suggests sulfate itself may not be the root cause. Mice exposed to pure sulfate aerosols in the lab suffer comparatively low health impacts. Here’s a recent paper.

A leading hypothesis for why PM2.5 aerosols are dangerous is the so-called “hitchhiker hypothesis,” which is the idea that these aerosols pick up tiny amounts of organics or metals and transport them into the lungs. Once there, the hitchhiking organics or metals cause the harm, not sulfate itself2.

So, it’s plausible that some organic, food-safe aerosol could be more dangerous than sulfate if the main driver of toxicity is the hitchhiking organics or metals and not sulfate itself.

Moreover, a Stardust-engineered aerosol injected into the stratosphere will undergo complex chemical reactions as it descends though the atmosphere and reaches someone’s lungs. So, a test of toxicity of the pure stardust aerosol could not accurately predict the impact in the real world just as tests of the toxicity of pure sulfate aerosol do not correctly predict the health impacts of PM2.5 aerosols.

Assumption #2 is therefore unknown. An SAI aerosol made from something non-toxic might be safer or less safe than an aerosol made from sulfate.

What we can say for sure is that a novel aerosol would have more uncertain health impacts than sulfate. There would be more basis for concern about unknown unknowns.

Sulfur aerosols are not safe. We know they cause mortality and morbidity, but we can estimate the size of their impacts with some confidence because of many thousands of scientific studies over the last century. This means there is little basis for concern about unknown unknowns with sulfate.

 

Summary

Stardust has the wrong structure because trust is the one product for-profit innovation does not naturally manufacture.

Stardust is focused on the wrong problem because (a) the direct health impacts of SAI sulfate can be assessed with some confidence using the immense scientific literature on their health impacts; and (b) assessments using this literature find that the direct health impacts of SAI sulfate are a small contributor to the overall risks of SAI; and finally, (c) the health and environmental risks of a novel particle would be more uncertain than the risks of sulfates.

I am no naïve booster of sulfates—I published some of the early papers on non-sulfate aerosols3. In addition to reducing health impacts, designer aerosols offer the chance to reduce three important side effects of sulfate SRM: heating of the lower stratosphere, damage to the ozone layer, and alteration of the visual appearance of the sky. It’s worth researching better methods of SRM.

But these three impacts only grow large when a large amount of sulfur is used, as would be needed to cool Earth more than about 0.5 or 1 degree Celsius. If SRM is gradually ramped up (in my view the only sensible way to use it) it will take a long time—perhaps half a century—until SRM is cooling Earth enough for these side effects to be important. Thus, it will be a long time before there is a sound reason to use designer aerosols.

In the long run, some new aerosols will be demonstrated that are better than sulfate. But it is very hard to argue the humanity should start with anything other than sulfate, because of the depth of our knowledge about its hazards and the inherent uncertainty in any designer particle.

I am convinced there is an urgent need for end-to-end systems engineering for SRM. While I disagree with what Stardust is doing, my conversation with the Stardust founders left me with a strong sense that they have good intentions. I believe their work is motivated by a shared desire to do this systems engineering for SRM. I wonder if they over-focused on the ‘ideal particle’ concept because it’s easier to sell novel tech to investors than it would be to raise funds developing a sulfate aerosol system.

In any case, the rise of Stardust has convinced me of the need for a public non-profit entity that can do this systems engineering for SRM using sulfate aerosols.

 

Acknowledgements: I thank Ben Peltz and Dakota Gruener for editorial suggestions.

 

Notes

1 On April 2, 2026 Stardust released a “A proposal for the safety and controllability requirements that SRM systems should meet” on arXiv.

2 See, https://hsph.harvard.edu/news/metals-and-sulfate-in-air-pollution-mixture-may-contribute-most-to-asthma-hospitalizations/, or https://documents1.worldbank.org/curated/en/810141630705865331/pdf/Are-All-Air-Pollution-Particles-Equal-How-Constituents-and-Sources-of-Fine-Air-Pollution-Particles-PM-2-5-Affect-Health.pdf

3 https://davidkeith.earth/publication/photophoretic-levitation-of-engineered-aerosols-for-geoengineering/, https://davidkeith.earth/publication/solar-geoengineering-using-solid-aerosol-in-the-stratosphere/, https://davidkeith.earth/publication/stratospheric-solar-geoengineering-without-ozone-loss/.

 

Preserving Earth’s Reflectivity: Supplementary Comments on “A Responsible Way to Cool the Planet”

By David Keith | September 21, 2025

Supplementary comments on “A responsible way to cool the planet” with Zeke Hausfather, an opinion essay in the NYT published 21 September 2025.

My guess is that a fair-minded understanding of the risks and benefits of deploying a small amount (example below) of sunlight reflection would yield surprisingly broad support for limited deployment.

Yet, any talk of limited deployment comes with one giant caveat: the fear that once started, it would be politically hard to stop. If there’s a big problem, it’s easy to stop. But if it starts and goes roughly to plan, then there will be a strong temptation to keep doing more, while weakening efforts to cut emissions or remove carbon.

How to set up political structures that avoid over deployment? There are clever proposals for voting rules that tie the right to vote in decisions about SRM to successful emissions cuts, but there are no easy answers.

Zeke and I propose a simple rule: limit use of SRM to maintaining Earth’s reflectivity against the decrease in reflectivity that will continue as pollution is cleaned up. This rule has two useful consequences. First, it ties use of SRM to clean up of pollution, and since this pollution is mostly from burning fossil fuels, this is roughly equivalent to tying use of SRM to cuts in fossil fuels; and second, it provides a non-arbitrary fixed upper limit on how much SRM can be deployed.

One can imagine this rule is simple enough to be useful in international negotiation over sunlight reflection.

Any such limit can obviously be overridden. It’s impossible to bind the hands of the future, and it would be unwise to do so, even if it were possible.

 

Notes:

Here’s what a small amount could look like: injecting sulfur into the stratosphere using high-flying aircraft. Starting in the early 2030s and gradually increasing over time, the injection could, after about 50 years, reflect enough sunlight to cool Earth by 0.5 C. That would lower projected 2080 temperatures from about 2.5 C above pre-industrial levels without SRM to around 2.0 C, while balancing the cooling across both hemispheres. This a bit larger than current cooling now caused by pollution, which is more like 0.4 C, but it’s similar magnitude. The human and environmental benefits of reducing temperatures by half a degree are enormous as demonstrated by the IPCC 1.5 report.

A strong temptation to keep doing more. This is geoengineering’s moral hazard, perhaps better called “mitigation deterrence”. It can arise from political exploitation or collective addition, as I describe here: https://davidkeith.earth/publication/toward-constructive-disagreement-about-geoengineering-a-shared-taxonomy-of-concerns-may-help/ . It can arise from political exploitation or collective addition as I describe here: https://davidkeith.earth/publication/toward-constructive-disagreement-about-geoengineering-a-shared-taxonomy-of-concerns-may-help/

Here are my previous NYT op-eds:

The New York Times: What’s the Least Bad Way to Cool the Planet?

The New York Times: Blocking the Sky to Save the Earth

Comparing the benefits and risks of solar geoengineering

By: David Keith and Anthony Harding (Georgia Tech)

Climate change has risks—and those risks are only increasing. Many of these might be reduced by solar geoengineering. Solar geoengineering also has risks, and it requires rigorous, transparent research before it is deployed. One major question though is how does the reduction in risks from solar geoengineering compare to the additional risks its use entails? Or equivalently, how big are the benefits of solar geoengineering compared to its harms?

Our paper, Impact of solar geoengineering on temperature-attributable mortality, is a first effort to provide a quantitative risk-risk comparison for any solar geoengineering method. It answers the call of an emerging consensus that if we’re going to avoid the worst effects of climate change, we need to evaluate every potential solution—including solar geoengineering. Importantly, highly credible scientific organizations like the National Academies of Sciences, Engineering, and Medicine (NASEM), and a growing chorus of experts, are among those who recognize solar engineering deserves exploration.

In our new paper, we quantify and compare what we consider to be a few of the largest physical risks for sulfate aerosol injection—mortality risk from temperature, air pollution, and ozone loss.

Injecting sulfate aerosol into the stratosphere will cool the planet, reducing mortality from heat, one of the leading risks of climate change. Sulfate aerosol air pollution is a leading cause of environmental mortality worldwide, so it is one of the most obvious risks of sulfate aerosol geoengineering. Sulfate aerosols in the stratosphere can also damage the ozone layer, causing an increase in mortality from skin cancers.

Comparing these three risks, we find that the reduction in mortality from cooling—a benefit—is roughly ten times larger than the increase in mortality from air pollution and ozone loss—a harm. Like any statement about solar geoengineering this result depends on the scenario we evaluated along with a host of other assumptions.

Our view is that quantitative analysis of the expected benefits and costs of a possible policy action is crucial input to sensible debate about public policy. This perspective is particularly relevant to solar geoengineering given its uncertainties, risks, and distributional effects. Good benefit-cost analysis should consider structural uncertainties and consider the distribution of those impacts across different affected groups. Benefit-cost analysis should not (and does not) mechanically determine policy outcomes, but good policy analysis and debate should take benefit-cost analysis seriously. Note that our view about the importance of benefit-cost analysis is reflected by the fact that we have both taught this topic in public policy schools.

In the remainder of this essay, we offer some notes and then a set of answers to questions we imagine readers might ask.

Some notes:

  • Our paper is a collaboration between us and Princeton collaborators Gabe Vecchi and Wenchang Yang.
  • Our paper relies on a state-of-the-art method for estimating the impact of warming on local mortality led by my UChicago colleague Michael Greenstone. The estimate of added mortality due to the addition air pollution and ozone loss comes from Seb Eastham’s paper.
  • Our paper links to two prior papers. Tony led a paper on the impact of solar geoengineering on income inequality that used related econometric methods. David was part of prior collaboration with Gabe Vecchi which produced an important estimate of solar geoengineering’s potential to reduce regional climate hazards.
  • Many groups have called for risk-risk analysis of solar geoengineering including the National Academy, NASEM 2021, The Carnegie Climate Governance Initiative, C2G and the call-for-balance letter with Peter Singer, James Hansen, and Bjorn Stevens, as signatories, see paper.
  • The air pollution mortality estimate by Eastham combines the direct impacts of injected aerosol that makes it to the surface with climate-mediate changes in the amount of surface ozone and particulate air pollution produced from given industrial emissions. Air pollution mortality due to particular matter increases as the climate cools, a larger increase in mortality than direct impact of the sulfate injected into the stratosphere (see Figure 2 of Eastham). But this effect depends on air pollution emissions which will likely be lower late in the century than is assumed in the Eastham paper. It may be better to compare our estimated change in temperature-attributable mortality to Eastham’s estimate of direct impacts of the descending injection mass—yielding a benefit-harm ratio of about 40:1.
  • Our work examines only three risk pathways: temperature-attributable mortality, air pollution, and the impact of increased ultraviolet due to reduced ozone. It is just one step toward a broad quantitative risk–risk assessment of solar geoengineering. While not comprehensive, these are important risk pathways: temperature-attributable mortality may account for more than half of the monetized harms of climate change, and air pollution and ozone loss are among the most salient impacts of stratospheric sulfate geoengineering.

How will the positive and negative impacts of solar geoengineering be distributed geographically? Research consistently suggests that those who are expected to be most harmed by a warming world are those in poorer and hotter regions of the world. Broadly, we find the converse for solar geoengineering. Cooling by solar geoengineering reduces temperature-attributable mortality in hotter regions while it increases mortality in cooler regions (Figure 1 of paper). Global warming does the converse. This, combined with the fact that mortality impacts are greater when people are poorer, means that the benefits of solar geoengineering are concentrated in hotter and poorer regions.

Did we get our result by choosing an unrealistically positive scenario for deploying solar geoengineering? On the one hand, any statement about SRM is necessarily scenario dependent. Here’s how Parson and Keith put it:

SRM presents two fundamental policy-relevant scientific questions. How effectively could it reduce climate risks? And what additional harms or risks, of what severity, would it introduce? Answers to these questions about SRM’s effects rely partly on knowledge derived from scientific research, but they also depend on assumptions about how SRM is used, under what background conditions of greenhouse gas emissions and climate change. The three principal dimensions of choice in how SRM is used are how much global-average cooling or radiative forcing is pursued, how changes in radiative forcing are distributed around the world, and what SRM method is used.

If, for example, one deployed a massive amount of SRM in only one hemisphere the results would be bad.

On the other hand, our paper expresses many of its results as ratios either of risk-to-risk or of SRM’s effect to the effect if the same climate change were caused by removal of CO2, and these ratios are strongly dependent on the amount of SRM. We expect, for example, that the 13:1 risk-risk ratios would be very roughly the same if one was cooling the world only 0.1 C or as much as 2 C, and roughly independent of how quickly emissions were cut or carbon was removed. But our scenario does assume a roughly hemispherically balanced uniform SAI deployment.

How sure are you about your results? The abstract says there is only a 60% chance that benefits would outweigh the harms. The 60% figure is almost completely driven by the uncertainty in the effect of temperature-related mortality. Forget SRM and just think about CO2-driven climate change: though we don’t calculate it exactly, there is a large probability that the benefits of reduced deaths in cooler regions would be larger than the harms of increased deaths in hot regions—so our 60% figure really comes from the fact that the model we use doesn’t have high confidence that CO2-driven climate change is bad for average mortality. Things look very different if you look at a hot or cold region alone.

What next? Do you believe this type of climate intervention should be deployed? And who should have the authority to make this kind of decision? Our role as scientists is to expand the base of knowledge. Governments must decide if, when and how to put theory into practice. We hope the main impact of this paper is to spur our colleagues to provide more and better quantitative comparisons between risks and benefits.

Comment on Buying Time by David Gelles, New York Times, 1st August 2024

By David Keith | August 5, 2024

Good journalism builds stories out of facts. And good stories need characters.

The NY Times recognized the growing significance of debates about solar geoengineering and commissioned a story that humanized the topic by building it around a character, me.

David Gelles’ article is fair, but as the following examples illustrate, the imperative of storytelling may leave readers with an exaggerated impression of both my importance and the differences between my views and the views of other interviewees he quotes.

“My” solution.  Gelles’ article refers to solar geoengineering as “his [my] solution”. This is doubly wrong. I was a child when the idea of injecting sulfur into the stratosphere to slow global warming was first proposed. These ideas are not mine but are the work of many people over more than half a century. Moreover, solar geoengineering is not a solution, at best it’s a band-aid; a supplement to emissions cuts but not a substitute for them.

Moral hazard. The article says, “Opponents worry it would distract from the urgent work of transitioning away from fossil fuels”, adding that opponents cite “moral hazard” as one of the main risks of solar geoengineering. This is accurate, but in crediting this concern to ‘opponents’, Gelles suggests an “all-in” vs “all-out” dichotomy, which in turn suggest that people like me who are willing to contemplate deployment are blind to the risks, while people Gelles labels as opponents are blind to the benefits. Concern about moral hazard is, in fact, widespread within the solar geoengineering research community. I fear that fossil fuel interests or fossil-rich nations will exploit solar geoengineering by exaggerating its effectiveness and minimizing its risk to weaken controls on carbon emissions. I also believe I was the first to call this concern a moral hazard almost a quarter century ago[i].

Frank Keutsch. The article says “Dr. Keutsch is less sanguine than Dr. Keith when considering [SRM’s] potential risks” and quotes Frank as saying, “I compare stratospheric solar geoengineering with opiates,” and “They only treat the symptom and not the actual cause. You can get addicted to it if you don’t actually address the cause. In addition, like any painkiller, you’re going to have side effects. And then there are withdrawal symptoms, and that’s termination shock.”

I fully agree with Frank’s comments. I love his opiate analogy and use it occasionally. Many of us use similar analogies, including myself when I compared geoengineering to chemotherapy in 2010 congressional testimony. It’s possible that Frank is more concerned than me about geoengineering’s risks, but we talk often, and my overall impression is that while we see some things differently, we share a similar overall level of concern.

David Suzuki. The article quotes David Suzuki saying, “The whole notion of spraying sulfur compounds to reflect sunlight is arrogant and simplistic”, and “The fundamental problem is that we think we’re so smart that we don’t have to pay attention to nature’s boundaries.” A reader might assume that David Suzuki opposed research on solar geoengineering—the central question at issue today—yet in a conversation I had with David Suzuki in March 2022 as part of a documentary, Suzuki’s response to a question about research on solar geoengineering was “absolutely we need more information just to show us how ignorant we are.”

Shuchi Talati, the founder of a nonprofit organization called the Alliance for Just Deliberation on Solar Geoengineering, called the technology “a double-edged sword.” Adding that “…it can also exacerbate suffering if used in a bad way.”  Yes. Solar geoengineering could cause immense harm through deliberate misuse. To dramatize its terrible possibilities, I computed that solar geoengineering could theoretically be used to cool the earth over a century, freezing the oceans to the equator and, a quote that Michal Spector picked up for a 2012 New Yorker article.

Gelles’ follows Shuchi’s quote with a statement implying that I disagree, saying that I “countered that the risks posed by solar geoengineering are well understood, not as severe as portrayed by critics and dwarfed by the potential benefits”. I believe this statement is correct for the physical risks of deployments under specific conditions (e.g., hemispherically balanced and offsetting less than half the CO2-driven warming). Yet I emphatically agree with Shuchi’s view that solar geoengineering could most certainly “exacerbate suffering if used in a bad way.” Caveats matter.

Summary. I am excited to see solar geoengineering getting above-the-fold coverage in the NY Times. Readers should bear in mind that story-driven reporting tends to exaggerate differences by portraying people as stylized representatives of sharply distinct points in a landscape of opinion.

No single person’s judgment should count for much. The news that should, in my view, matter to readers, is that there is rapidly growing agreement that research on this topic makes sense, as does active debate about how these technologies might be used and governed. There are, of course, strong voices against research from climate experts such as Ray Pierrehumbert, but evidence from surveys and formal consensus documents suggest that these opinions are held by a small minority[ii]. Additionally, to the extent we can gauge public opinion, there is a surprising level of support for research which is strongest in the developing world[iii].

If you want to learn more about solar geoengineering I suggest the One Atmosphere report from the UN Environment Program. For my views in my own words, have a look at my 2021 essay in the NY Times or my short book. My website has all my articles. If you want ones most relevant to general readers use this search. If you want my take on the links between nature and climate engineering, see my µ-autobiography. Or, see my Facts & values: my thoughts on talking about solar geoengineering.

Minor errors

  • “Risk is negligible compared to the benefits”. If I said “negligible” then I misspoke, but I doubt I said negligible as I have been speaking about this comparison a lot and have a standard way to describe it. The comparison between the reduction in mortality from heat and the increase in mortality from air pollution is from a paper by Tony Harding. An early version is public as an RFF whitepaper; a full version is under peer review. I have been speaking about this quite a bit and I typically provide a quantitative comparison of benefits to harms and include caveats as we do in the paper. Since the deaths from air pollution would be due to deliberate introduction of sulfur, I don’t think it’s ethical to dismiss them as negligible.
  • SCoPEx history. Firstly, SCoPEx was led by Frank Keutsch in the period the article refers to https://www.keutschgroup.com/scopex. I collaborated closely with Frank, but an account that leaves his name out overstates my role. Second, no test was planned over Arizona in 2018. Frank and I were developing hardware and working with balloon launch providers, but we were a long way from being able to schedule a flight. Third, the article says, “When details of that plan became public, a group of Indigenous people objected and issued a manifesto against geoengineering.” The manifesto was authored by ETC, founded in Montreal as part of an anti-geoengineering campaign. ETC did get signatures from some indigenous organizations but the article inaccurately characterizes the group that issued the manifesto.

[i] See page 276 of https://davidkeith.earth/publication/geoengineering-the-climate-history-and-prospect-2/

[ii] Dannenberg, A., Zitzelsberger, S. Climate experts’ views on geoengineering depend on their beliefs about climate change impacts. Nat. Clim. Chang. 9, 769–775 (2019); Dai, Z., Burns, E.T., Irvine, P.J. et al. Elicitation of US and Chinese expert judgments show consistent views on solar geoengineering. Humanit Soc Sci Commun 8, 18 (2021).

[iii] Sugiyama, M., Asayama, S., & Kosugi, T. (2020). The North–South Divide on Public Perceptions of Stratospheric Aerosol Geoengineering?: A Survey in Six Asia-Pacific Countries. Environmental Communication14(5), 641–656; Low, S., Fritz, L., Baum, C.M. et al. Public perceptions on solar geoengineering from focus groups in 22 countries. Commun Earth Environ 5, 352 (2024).

 

 

 

 

 

 

 

 

 

 

FAQ on idealized solar geoengineering moderates key climate hazards

By David Keith | March 11, 2019

This post provides some color commentary as an FAQ about “Halving warming with idealized solar geoengineering moderates key climate hazards”, published 11 March 2019 in Nature Climate Change. Feel free to send me questions and I may add to the FAQ. See also Harvard press release and video.

This feels like the most important solar geoengineering (SG) study I have been lucky to be a part of. From my perspective, it’s more important and should get more attention than progress on our stratospheric experiment.

We use a high-resolution state-of-the-art model to go after a central policy-relevant question: what regions would be made worse off if solar geoengineering was combined with emissions cuts to limit climate risks? We find that no region is made worse off in any of the major climate impact indicators we examined. (It’s easy to cherry pick regions to make SG look great or terrible—we used standard regions from the IPCC SREX report.)

My hope is that the paper will dispel some of the common-but-false assumptions that solar geoengineering necessarily entails massive risks, that its impacts are highly unequal, and that it works for temperature but messes up precipitation. And I hope it demonstrates that further research needs to be done.

How does this matter for climate policy? 

There is strong evidence from multiple climate models that if solar geoengineering were implemented with reasonably uniform global coverage (e.g. uniform aerosols in the stratosphere) and if it’s used in combination with strong emissions cuts—as a complement, not a substitute—then it may offer major reductions in the climate risks that matter most to humans and ecosystems without making any region significantly worse off.

The possibility that solar geoengineering could enable deep reductions in climate risks is a strong argument for a serious global, open access research program aimed at better understanding the risks and efficacy of solar geoengineering. For more on what such a program might look like, here is my case for a responsible research program in the NAS Issues in Science & Technology, as well as an important paper from Douglas MacMartin and Ben Kravitz in PNAS.

Does this mean people who worry about the risks of solar geoengineering are wrong? Does this argue for deployment? 

Not at all. I have worried about this technology’s risks since the early 90’s. At this point research is still dominated by a small group of scientists. This means real danger of groupthink. We may simply be wrong.

What this paper illustrates is that it’s too early to leap to conclusions in either direction. This is true both for those who are convinced solar geoengineering will work, and for those who are convinced that solar geoengineering will cause droughts, or will harm the poor while benefiting the rich.

This paper, along with many previous by many authors, shows that solar geoengineering could have large and equally distributed benefits, but it doesn’t prove it. It is an idealized model. There are still huge uncertainties.

It’s clear that if misused, e.g., by deployment in only one hemisphere, solar geoengineering could have huge impacts. We need technically sophisticated efforts to quantify risks of plausible deployment of uniform and solar geoengineering that is used as a moderate supplement too emissions cuts. Until that work is done it’s too early to leap to conclusions.

Who’s behind this paper? Why does it matter? 

This paper started from a discussion with Gabe Vecchi (now Princeton, then GFDL) following a talk I gave at Princeton in 2016. Gabe decided to study solar geoengineering using GFDL’s new 25-km-resolution tropical cyclone permitting model. This is important because this model does a substantially better job simulating current precipitation extremes than typical models that have been used before on solar geoengineering. It’s also important because it is the first time that GFDL, the oldest and one of the best climate modeling centers, got involved in solar geoengineering research.

Gabe brought in Larry Horowitz (GFDL), one of the model’s developers, and Jie He (now at Georgia Tech). I meanwhile encouraged Peter Irvine, a postdoctoral fellow in my group, to take the lead in analyzing the data and writing the paper.

Gabe was collaborating with hurricane expert Kerry Emanuel (MIT), and as we began to look carefully at the hurricane responses, Gabe did not have confidence in the ocean-basin-by-basin regional response, so we invited Kerry to join the paper.

This new collaboration is relevant because solar geoengineering publications have been too dominated by a small group, and this brings significant new collaborators with deep climate science expertise to this important topic.

What about precipitation?  

This paper highlights a common misunderstanding about solar geoengineering: that a world with solar geoengineering would inevitably have less water availability. If all warming from rising CO2 was offset by solar geoengineering, there would be less rain overall than in the current climate. This has led to concerns about droughts and monsoons. However, global warming increases rainfall so something which reverses this could reduce flood risk. When solar geoengineering is used with emissions cuts to halve warming, global-mean rainfall is more-or-less restored to its original levels. Moreover, while it seems reasonable to assume that less rain means that things are drier, in fact what matters more for ecosystems and farmers is water availability: rainfall minus evaporation. Solar geoengineering reduces rainfall, but it also reduces evaporation by reducing temperatures. So, a decrease in rainfall may be associated with an increase in water availability.

One of the ways this paper takes a step beyond current literature is by focusing on a larger set of variables that (we think) are more relevant to assessing real world climate impacts. Rather than just looking at temperature and precipitation, we looked at: annual average temperature, extreme temperature, extreme precipitation, precipitation minus evaporation as a proxy for water availability, and intensity of tropical cyclones. Note: while we do not highlight them in the paper, we also find that the simulation moderates changes in precipitation. More on this and some data on the seasonal response can be found in the supporting material.

Why did the paper adjust the solar constant rather than attempting a realistic simulation of stratospheric aerosols? 

Here’s the crucial paragraph in the paper:

We analyse the distribution of climate changes resulting from reducing the solar constant to offset roughly half the radiative forcing from doubling CO₂. A spatially uniform reflective stratospheric aerosol layer, which could be achieved by adjusting aerosol injection using feedback, would produce a similar radiative forcing to a solar constant reduction. Even with a uniform distribution, stratospheric sulphate solar geoengineering will differ from a solar constant reduction in that sulphates heat the lower stratosphere, perturb the ozone layer, and increase the ratio of diffuse to direct light. Each of these effects can be reduced by choices of alternate non-sulphate aerosol, though their side-effects are less well understood because there is no direct natural analogue. We nevertheless choose solar constant reduction as a benchmark because, given the diverse implementations of aerosols in models, solar modification allows more direct tests of inter-model differences in climate response to solar geoengineering.

Let me nerd out: In separate work, the group at NCAR, our group, and others have done work that suggests it is possible to adjust the injection of aerosols to achieve roughly uniform radiative forcing. No group has yet simulated this in a way that reasonably approximates the way that feedback from limb-sounds in situ measurements would be used in a stratospheric analysis/forecast system to adjust injection to achieve a specified optical depth profile. Moreover, no existing model can do a good job of simulating this because models with Eulerian grid boxes instantaneously mix aerosol or precursor emissions into the grid box, whereas material would form a linear plume after being dispersed from an aircraft. Local concentrations in the plume will be far higher than simulated in a Eulerian model. This will produce different SO oxidation rates and different rates of particle formation. Several research groups are now beginning to work together to address these problem.

Stepping back from technical complexity, this paper suggests what might be possible with a well-designed aerosol injection method. It also underscores one of the many reasons why research is needed—to better understand what such a method might look like, and what its risks and limitations might be.

Original post on Harvard.edu

Two new papers examine how turbine-atmosphere interactions shape wind-power’s environmental impacts

Today Lee Miller and I published a pair of papers on the interaction between wind turbines and the atmosphere. “Observation-based solar and wind power capacity factors and power densities” in Environmental Research Letters, and “Climatic impacts of wind power” in Joule. (Many thanks to the journals for arranging simultaneous publication.) Don’t miss Lee’s video abstracts for Joule and ERL.

From my perspective, there are two big takeaways. First, there are now two independent lines of high-quality data suggesting that models with atmosphere-turbine interactions are getting something important correct. Second, that wind power has a somewhat larger environmental footprint than many had assumed, that, specifically, the land footprint of wind is at least 10 times higher than that of solar.

What does this mean for public policy? In my opinion, it means more empirical research to answer specific questions about wind’s impacts. A wise reporter chided me that scientists always want more research while pushing me towards a policy relevant conclusion. For me, the strongest high-level conclusion is that, as policymakers push towards decarbonization, it’s worth pushing a bit harder on solar and a bit less hard on wind.

Context matters: the big problem is that policymakers should be doing much more to cut carbon emissions, most importantly by technology-neutral policies that penalize the use of the atmosphere as a cost-free disposal site for carbon pollution. Some thoughtful environmental activists who are fighting day-to-day against fossil fuel interests to accelerate the deployment of low-carbon power will ask, Why publish the stuff that hands ammunition to the other side? My answer is simply that no large-scale energy technology is without social and environmental impacts. And, as renewable energy grows out of its cradle into the energy mainstream, those whose goal is environmental protection must welcome careful analysis of its full environmental impacts, particularly when that analysis can inform energy choices to reduce future impacts.

Why the timescale comparison? 
Much reporting will focus narrowly on the timescale comparison in the Joule paper. Reporters seem drawn to want a simple, over-the-top claim/sound bite along the lines of, Wind is worse than fossil fuels this century. Such a claim is total nonsense.

Why then, did we make the wind versus fossil comparison in the Joule paper? Simply reporting that we get a specific climate change for a specific large deployment scenario isn’t very helpful because it doesn’t provide a relevant comparison. We need to find a way to compare the relative environmental footprints of low-carbon energy sources like solar and wind. Policymakers need a rough metric of how much these climate impacts matter on a per-unit-energy basis. A single wind farm has negligible impact on global climate over the next century. Yet, if that single wind turbine provides an infinitesimal global benefit in the form of reduced emissions and climate change, and an infinitesimal climate impact in the form of non-local hemispheric-scale climate change caused by atmosphere-turbine interactions, it’s relevant to compare these two infinitesimal effects in order produce a crude estimate of the ratio of benefits to harms. Because the carbon benefits grow cumulatively with time while the turbine-atmosphere interactions are instantaneous, this ratio is not dimensionless, but instead has units of time.

Because both the benefits and harms are very roughly linear, the timescale metric is relevant to wind or solar power at any scale. It doesn’t depend on the specific half-terawatt scenario studied here.

What do these timescales mean to me? They’re very rough order-of-magnitude guides to the relevance of the climate changes caused by low-carbon power sources. If the timescale is on the order of decades or less, then I think it’s fair to completely ignore the climate impacts in practical policymaking. This is the case for solar power. If the timescale was thousands of years, then I think the climate impact poses a serious problem. For wind, our analysis suggests the timescale is, to a very rough order, a hundred years—scientist speak for more-than-decades and less-than-millennia. Given that, I think it’s fair to conclude that wind power’s climate impacts are non-negligible.

Statements like wind is worse than fossil fuels this century are nonsense both because they’re overly precise about the timescale, which is in fact contingent on a bunch of open-ended assumptions as we describe in the paper, and because the climate change from atmosphere-turbine interactions and CO are quite different. There may be significant benefits to the climate change from wind turbine drag. For example, all of the global models that have examined large-scale wind deployment scenarios (including Mark Jacobson’s, though he did not show climate results in this paper) show cooling over the Arctic. Years ago, Danny Kirk-Davidoff and I wrote a nerdy paper in Journal of the Atmospheric Sciences to try and understand the reasons for this cooling. If correct, this is an added climate benefit of wind power.

Q: What’s new? A: Observational support for the models. 
For me, the importance of these papers is not the timescale, nor the turbine-induced climate change, both of which have been shown before. But, in the main, the environmental science community ignored them. In part, I suspect many people concluded that the results were simply not robust, were not backed up by observational evidence.

The ERL paper is the first observational estimate of the average power density of large-scale wind power. Power density matters because it determines how much land is required to supply a given amount of energy. Our results use newly released data on the location of all US wind turbines. We find an average density of 0.5 Wm-2 consistent with physically based models and inconsistent with wind resource estimates that ignore interactions between wind turbines and the atmosphere. See this graphical summary. (Power density matters because it means that supplying a given amount of wind power takes more land than previously assumed. Roughly 3 times more than an important estimate by the US DOE and more than 10 times the amount from an important study used by the IPCC.)

Graphic

As we catalogue in the Joule paper, warming has now been observed at least 28 operational wind farms in at least 10 separate studies. Most of the studies are based on changes in satellite-observed skin temperature before and after wind farm installation. For me, the major result of the Joule paper was that our model roughly matches the diurnal and seasonal cycle of warming, providing strong confirmation that we are capturing an important mechanism that causes wind power-induced climate change.

As I see it, the novelty of these two papers is the link between models and observations. My naïve hope is that readers will not over-interpret the specific results in the Joule paper, which are highly configuration-dependent, but rather hear the importance of observational confirmation of previously theoretical results and conclude that one cannot simply ignore these effects, concluding that wind power’s land footprint and climate impacts need to receive more serious consideration in strategic decisions about decarbonizing our energy system.

Original post on Harvard.edu

Why I am proud to commercialize direct air capture while I oppose any commercial work on solar geoengineering

By David Keith | June 4, 2018

My academic work is focused on solar geoengineering. I am also founder and part-time employee of Carbon Engineering, a Canadian company commercializing technology that captures carbon dioxide directly from the atmosphere.

It’s easy to confuse the two efforts, in part because of sloppy use of “geoengineering” to encompass a range of unrelated ideas, from planting trees to massive space mirrors between Earth and the Sun. Words matter. Critics sometimes exploit this confusion, implying that our work on solar geoengineering aims at profit, or takes funding from oil and gas companies to serve industry interests.

Pointed critiques aside, there is room for misunderstanding. A few months back, a cousin of mine who does environmental art asked if Carbon Engineering was commercializing my academic research on geoengineering. The answer is an emphatic, “No.” I oppose commercial work on the core technologies of solar geoengineering, yet I am very proud of the work Carbon Engineering is doing to commercialize carbon-neutral transportation fuels made from atmospheric CO and renewable power.

The remainder of this essay provides some personal reflections on the difference between direct air capture and solar geoengineering, differences that shape my views about the very different roles commercial interests play in their development. I also reflect on the conflicts of interest that arise from me working on both topics. I assume that you, my reader, have more familiarity with solar geoengineering than with Carbon Engineering’s work, so I start my explanation there.

Carbon Engineering

Carbon Engineering is a privately held company developing technology for direct air capture (DAC) of CO from the atmosphere. It was founded in 2009 in Calgary AB and is now based in Squamish BC. As of June 2018, we have just under 40 employees and have raised a cumulative total of 30m $US including both investments and government support.

Our research began as an academic effort to understand the cost of DAC by doing a bottom-up engineering cost analysis of a DAC system constructed using off-the-shelf technologies. Our work was motivated, in part, by what I suspected were over-optimistic claims that DAC might be very cheap. As we dug deeper, the effort gradually shifted from assessment to problem-solving. We began to innovate until we reached a point where it seemed the most effective way to enable this environmental technology was to create a company, so we could focus on practical research to de-risk the innovation and drive it towards commercialization.

Carbon Engineering’s primary business model is to use DAC to make carbon-neutral hydrocarbon fuels from carbon-free energy. Cheap solar power plus electrolysis can be used to make hydrogen at a price that gets more competitive every year. Carbon neutral hydrogen and DAC CO are combined using gas-to-liquids technologies to make transportation fuels such as aviation kerosene, diesel, and gasoline. We call this our AIR TO FUELS TM process. These fuels would be compatible with existing infrastructure but have no connection to oil and gas, and have near-zero lifecycle carbon emissions. They provide a way to use intermittent renewable power from sunny and windy locations to power transportation around the world. On a large scale, Carbon Engineering aims to make synthetic fuels at $1 per liter. Fuel from early plants would be more expensive, but in the long-run costs will come down below $1 per liter as the cost of solar and other low-carbon power decline along with the cost of electrolysis. When derived from oil, the same fuels now have production costs of about $0.6 per liter.

Our fuels are unlikely to beat oil in a head-to-head fight unless oil is penalized for its climate impact. Carbon Engineering has a strong business case today because policies that penalize CO emissions and reward ultra-low carbon transportation fuels are already in place and evolving rapidly. Examples include the various biofuel standards, California’s Low Carbon Fuel Standard (LCFS), and European fleet emission vehicle standards.

While synthetic fuels are our primary business case, Carbon Engineering is also exploring the use of atmospheric CO to make high-value products, and of markets that reward permanent removal of CO from the atmosphere through a combination of DAC and carbon sequestration technologies.

Conflicts of Interest

Ignoring larger questions about carbon removal and solar geoengineering, what about the conflict between my roles at Harvard and Carbon Engineering? Harvard allows faculty to spend up to 20% of their time on outside work, and I spend that working for Carbon Engineering. My view is that universities including Harvard are too willing to accept a professor’s involvement in companies that are tightly tied to their academic research. This problem seems most acute in biomedical research, but it also applies in cleantech. I try and keep the division sharp. I ended all my academic work on DAC soon after forming Carbon Engineering. I have no research grants on DAC and no students or research staff working on it, or any similar technology. I do a limited amount of collaboration with other researchers interested in DAC, but in doing so, I make it clear that for DAC related work my primary responsibility is to Carbon Engineering.

As I see it, I have a clear conflict of interest if I do academic or advisory work on DAC (or related areas such as low carbon fuel policies) using my status as a professor or as an “expert” in energy and climate policy without indicating my vested interest in a company that has direct benefits from low carbon fuel policies.

That said, the concerns about my conflicts of interest have focused on the conflict between Carbon Engineering and my academic work on solar geoengineering.

Much of the concern about solar geoengineering is rooted in the fear that its development will sap efforts to cut emissions. This is often called geoengineering’s “moral hazard.” I think it’s somewhat more useful to think of it as a political risk. Put simply, I expect that work on solar geoengineering, including my own work, will be actively exploited by those who oppose emissions cuts, most obviously fossil fuel companies and fossil-rich nations. Such groups will likely exaggerate the effectiveness of solar geoengineering and minimize it’s risks in order to weaken efforts to cut emissions. Whatever it’s called, concern about political misuse of solar geoengineering research is real and serious. To my knowledge, I was the first to call it out as a “moral hazard” in a review article in 2000.

If solar geoengineering weakens climate policies, then it threatens cleantech companies like Carbon Engineering. This is not a minor issue. The only way that Carbon Engineering succeeds is with strong carbon policy. When raising funds for Carbon Engineering, one of the biggest concerns we hear from potential investors is that government policies penalizing high-carbon fuels (such as California’s Low Carbon Fuel Standard) might not be politically stable if governments waver on environmental policies.

To sum up: there would be conflict of interest if my advocacy of solar geoengineering research benefited the interests of my company. But this cannot be the case. My advocacy of solar geoengineering research is contrary to the interests of Carbon Engineering for two reasons. First: because of the potential for solar geoengineering to weaken mitigation policies, i.e. the “moral hazard”. And second, because my involvement in solar geoengineering increases the chance that Carbon Engineering will be seen as a “geoengineering” company with all the ethical and regulatory concerns that this entails.

Conversely, there would be a conflict of interest if my work at Carbon Engineering made solar geoengineering more credible. This seems implausible. Many climate policy advocates see a trade-off between solar geoengineering and carbon removal. They argue that mitigation alone cannot meet the ambitious climate targets agreed to at Paris, and either carbon removal or solar geoengineering may be needed to keep the world from warming more than two degrees. As most see carbon removal as much less risky and politically problematic than solar geoengineering, it follows that if work in Carbon Engineering and its competitors help make carbon removal more plausible, it weakens this case for solar geoengineering.

Divergent Roles for Private Capital

As explained in an earlier blog, I oppose commercial work on core solar geoengineering technologies. My essential concern is that commercial development cannot produce the level of transparency and trust the world needs to make sensible decisions about deployment. A company would have an interest in overselling, an interest in concealing risks. Solar geoengineering is not cleantech. It’s not a better battery or wind turbine. It’s a set of technologies that might allow humanity to alter the entire climate. As much as possible, it needs to be owned and controlled by transparent democratic institutions. It requires global governance.

It might be argued that, in forgoing commercial development of solar geoengineering, we lose the chance to harness commercial innovation to reduce costs. But cost is already so low that it’s more of a bug than a feature. Low cost may make it too tempting. Low cost enables unilateral action.

Why commercial work on DAC but not on solar geoengineering? It’s true that as a company, Carbon Engineering’s development process is less transparent than academic research. But transparency in the development process is not needed if the final product can be easily validated. When Carbon Engineering succeeds and large-scale air capture plants are built, it will be very easy for outside entities such as governments, third parties, or citizen groups to monitor the net flows of energy and materials in and out of the plant, as well as various industrial byproducts or emissions. The potential environmental risks of a Carbon Engineering plant are well-regulated by existing regulations on similar industries such as power plants, paper mills, and chemical plants.

This difference is linked to the fundamental difference between solar geoengineering and a carbon removal technology like DAC. Solar geoengineering is large-scale climate modification which inherently has global consequences that are difficult to quantify even after deployment. DAC results in emissions reductions (carbon-neutral synthetic fuels) or net CO removal (sequestration), with local impacts that can be measured with reasonable accuracy.

For public policy, the essential distinction between solar geoengineering and DAC rests on their very different distributions of risks, benefits, and costs: solar geoengineering entails uncertain global risks and benefits with negligible direct costs, while DAC and similar carbon removal technologies provide a global benefit in exchange for local risks and significant costs. Their very different governance challenges arise directly from this asymmetry.

Clean energy technologies like wind or nuclear power also offer the global benefit of reduced emissions in exchange for local costs and environmental risks. DAC is, as I see it, more like an energy technology than a form of geoengineering. And, the use of DAC to make carbon-neutral hydrocarbon fuels is an energy technology that competes directly with batteries and biofuels to provide low-carbon transportation. Finally, unlike solar geoengineering, there is a large public benefit to driving down the cost of DAC. That’s why I am very proud to be part of Carbon Engineering, but strongly oppose any commercial work on solar geoengineering.

Calling both “geoengineering” is misleading. Words matter.

Original post on Harvard.edu

Why we chose not to patent solar geoengineering technologies

By David Keith and John Dykema | May 3, 2018

We broadly oppose commercial development solar geoengineering. In our view, a central objective of solar geoengineering research is to develop credible assessments of its risks and efficacy. Credibility depends, in part, on confidence that the risks of solar geoengineering are not concealed, that its effectiveness is not exaggerated. Such credibility can, in our view, be best generated by a transparent multipolar research effort. Where, “transparent,” means open access to the full research process, including raw data, dead ends, and experimental failures. Where “multipolar” means the research is conducted by a diversity of independent entities including research by groups that focus on finding the ways that it will fail.

Such transparency cannot reasonably be achieved in a commercial setting that depends on the ability to protect and monetize intellectual property. We therefore disapprove of patenting of technologies that are core to the deployment or monitoring of solar geoengineering. This is not an injunction against any commercial involvement. Any research, or eventual deployment, will—of course—depend on a web of firms suppling components and services. Our concern is with the core technologies specific to solar geoengineering.

Our recent publication, Production of Sulfates Onboard an Aircraft: Implications for the Cost and Feasibility of Stratospheric Solar Geoengineering, serves as a useful example to discuss our concerns with patenting.

Unlike most of our work, this paper describes a possible improvement to technologies for solar geoengineering. It provides a chemical engineering analysis of a system to convert sulfur to SO2 or SO3, and could be used aboard aircraft to produce sulfate aerosols in the stratosphere for solar geoengineering. Such a system could reduce the cost and environmental impact per unit of sulfur delivered. And it could facilitate use of SO3 to make accumulation mode H2SO4 particles that allow for better control of the distribution of particle sizes.

In any case, this is an example of a technology that would very likely have been patentable. However, because we oppose patenting we elected not to patent this technology. In so doing we follow the practice that we have for all solar geoengineering related research. We have never filed a patent related to solar geoengineering and have worked to find ways to block or discourage others from doing so. In 2012 for example, one of us (Keith) participated in organizing a workshop run by Granger Morgan at Carnegie Mellon University. It explored options for promoting transparency, leading to a suggestion that:

“In order to lessen the incentive for private commercial interests to influence the direction of the pursuit of SRM, it would be desirable to restrict the assertion of such private intellectual property rights to technical fields other than SRM. Federal agencies already have statutory authority to take prescribed action to restrict or partially restrict the patent rights of awardees.”

More recently, Harvard’s Solar Geoengineering Research Program was established with a policy discouraging patenting.

Our publication of the above finding contributes to transparency because it partially blocks anyone else from patenting something similar. Here’s a very rough summary of relevant patent law: Europe, and many other jurisdictions, have a so-called First To File policy with no grace period after public disclosure. This means that anyone can, in principle, file a patent whether they were the inventor or not, so long as they are the first person to file. However, once the work is publicly disclosed, it is unpatentable. The U.S. has a recently revised First Inventor To File system that includes a limited one-year grace period. The grace period means that, under new restrictions, the original authors can file a patent within one year of publication. No one else can, since the publication is prior art and other inventors are not authors of it. Note that this is a mere sketch of the issues—patent law is absurdly complicated.

In publishing this work we made it unpatentable by anyone (including us) in Europe and similar jurisdictions, and we complicated its patenting in the US. In practice, there are a lot of ways where it is likely possible for someone to patent something that treads on some of the same ground, but they would be restricted by our public disclosure of the original idea as “prior art”.

Returning to the big questions. We have mixed feelings about this paper. We are interested in improving knowledge of the risks of solar geoengineering or finding ways to reduce those risks. We have generally avoided finding ways to reduce its cost. For this publication, we chose to make an exception. To start, because low cost is potentially problematic, we thought a method that could meaningfully reduce cost without introducing significant technical complexity would be an important finding to publish. Furthermore, although this method could in principle reduce cost, its practical realization would require significant engineering and capital expenditure well beyond what is represented by our publication. Additionally, we did this work because we thought that, in this case, for sulfate aerosols, the most generic and well-studied potential method of solar geoengineering, it was worthwhile to present this idea in written form since it has already been discussed. (It was mentioned obliquely in the footnotes of a prior paper.) On balance, we felt it was better to describe the process in a technical publication. Moreover, we judged that if solar geoengineering ever moved towards deployment, a well-funded engineering effort would far surpass our effort in inventing innovative ways to reduce costs.

It might be argued that in forgoing commercial development of solar geoengineering we lose the chance to harness commercial innovation to reduce costs for core solar geoengineering technologies. But, cost is already so low that it’s more of a bug than a feature. Low costs enable unilateral action. Solar geoengineering is not a consumer product. It’s a set of technologies that might allow humanity to alter the climate over decades to centuries. As much as possible, it needs to be owned and controlled by transparent democratic institutions. It requires global governance.

Original post on Harvard.edu

Climate Impacts of Biking vs. Driving

By Daniel Thorpe with help from David Keith | June 20, 2016

Paleo-diet cyclists warm the planet as much as Prius drivers — but under the usual (but crazy) assumption that nothing matters beyond 100 years in the future

See our free course on edX that debates issues like this and teaches you how to do the kinds of research and calculations in this blog post.

NOTE #1: this is a back-of-the-envelope estimate of the marginal impact of biking or driving a kilometer, looking only at the fuel for each (food and gasoline). Our goal is only to stimulate quantitative thinking about what drives carbon emissions (e.g., transportation vs diet). It’s not an evaluation of whether biking or driving best overall, and it’s not peer-reviewed research. As many enthusiastic readers have pointed out, bikes provide exercise, impose less danger on others when driven, take much less energy to manufacture, etc. Please keep riding your bike, David and I do so daily 🙂

NOTE #2: The original version of this post on 26 May 2016 had an unreasonably high estimate of caloric expenditure of biking, 50 kcal/km, and underestimate of Paleo diet intensity of 3.8 g CO₂e/kcal. After looking carefully into several references I amended the post to have 25 kcal/km for cycling and 5.4 g CO₂e/kcal for a Paleo diet [i]; the impact of vegans and average-diet cyclists is now much lower, and the impact of Paleo cyclists is a bit lower too. Thanks to all the readers who brought the errors to my attention!

Is it better for the climate to bike or drive? Obviously it’s cleaner to bike. Right? Not so fast;  biking can have a bigger impact than you think, depending on your diet. Long story short, if you eat enough meat the extra calories burned by biking can lead to similar emissions as driving a car with good fuel economy [ii].

First let’s start with the energy needed to travel a kilometer by bike or car. Biking takes around 25 kcal/km [iii] above basal metabolism, which is equivalent to .11 MJ/km. A typical car in the US gets 25 mpg, or 9.5L/100 km, which is equivalent to 3.3 MJ/km. The Toyota Prius takes only 5 L/100km, or 1.7 MJ/km. So a typical car takes 30x more energy per kilometer than biking, and a Prius takes 15x more. This is what we expect given how much heavier cars are than bikes.

But not all energy use has the same impact on climate. There’s a range of greenhouse gases that warm the climate at different rates and stay in the atmosphere for different lengths of time. When an activity leads to emission of several different greenhouse gases, we often combine them all into one metric, “CO₂ equivalents,” by multiplying all the gases other than CO₂ by their “Global Warming Potential,” which reflects how much more or less they affect the climate than CO₂. This doesn’t matter a lot for estimating the impact of cars, where 90+% of the emissions are CO₂, but it does matter for the agriculture powering a bike ride, where there are substantial emissions of N₂O and CH₄, which have GWP’s around 30 and 300, meaning we usually count 1 gram of CH₄ emissions as equivalent to ~30 grams of CO₂ emissions. Determining the exact value of these equivalencies a tricky exercise that involves value judgements, something that we’ll return to later.

So let’s make estimates of the climate impacts of biking and driving, in CO₂ equivalents (CO₂e). If we look at a typical car in the US, taking 9.5L/100km, we can use the lifecycle emissions from gasoline, ~3.2 kg CO2e/liter, to estimate 300 gCO₂e per kilometer of driving. A Prius emits half as much, 150 gCO₂e/km. We can do a similar analysis for biking. An “average American” eats 2600 kcal/day and their diet leads to about 2.6 gCO2e/kcal [iv]. Given that .11 MJ/km requirement for biking, this gives us an impact of 65 gCO₂e/km. This is a little under half the impact of the Prius! Before writing this post, I guessed driving to have ~10x more marginal impact than riding my bike.

What about a meat-heavy diet, the Paleo diet? I looked at Paleo meal plans and academic lifecycle GHG estimates for the foods in those meal plans, and estimated the average emissions of a Paleo diet to be 5.4 gCO₂e/kcal [v]. This gives us 135 gCO₂e/km, very close to the Prius. What about a vegan? Vegan diets have much lower emissions, around 1.6 gCO₂e/kcal [vi], for 40 gCO₂e/km. This means that a biking vegan has less than a third the impact of an individual driving a Prius, and 1/7th the impact of an individual driving an average car.

Sharing rides in cars matters too. Two paleo afficianados are friendlier to the climate if they carpool together in a Prius rather than biking somewhere together. The distance-weighted average occupancy for US car travel is 1.6, so this is no minor effect (N.B. average occupancy for commuters is just 1.1, which seems awfully low; I hope someone figures out how to make carpooling more common, maybe with something like Uber Commute). If we adjust the emissions for car travel down by a factor of 1.6, the intensity of average cars is ~190 gCO₂e/km, on the order of one Paleo cyclist! A Prius has an occupancy-adjusted intensity of just 100 gCO₂e/km, lower than a Paleo cyclist! Check out Table 1 for a summary of these calculations.

Mode of Transport Energy Consumption (MJ/passenger-km) Climate Impact (gCO2e/passenger-km)
Biking, vegan diet .11 40
Biking, avg US diet .11 65
Prius, double occupancy .85 75
Biking, paleo diet .11 135
Prius, single occupancy 1.7 150
Typical (25mpg) US car, single occupancy 3.3 300

Table 1: Rough estimates of energy use and climate impact of different kinds of transportation.

Land Use

We’ve seen that the climate impacts of a bike ride can be surprisingly similar to those of a car trip, depending on the car and your diet. But there are environmental considerations other than climate change, like land use. How much land do you think is required to fuel a car trip (in the form of oil extraction) relative to the land needed to fuel a bike ride (in the form of agriculture)? Unlike the greenhouse gas example, this doesn’t depend on your car or your diet; the bike ride almost certainly requires more land.

Estimates of land use for fossil fuel extraction vary widely, but in general they are at least 3,000 liters of oil per year for every square meter of land occupied for oil extraction, and some estimates go as high as 300,000 liters per m^2-yr for conventional oil production. These figures are equivalent to about 120 to 12,000 GJ of energy per m^2-yr, or 10 to 1000 W/m^2 [vii]. Food production per unit of land is much lower than this range. Cereal grains are at the upper end of calories per unit land out of the various types of food, but we only produce around 7500 kg of grains per hectare-year, according to the World Bank. Using the calorie density of grains (~3.6 kcal/g), that’s only 120 GJ/hectare-yr, or .4 W/m^2, at least 25 times less than the power density of fossil fuel extraction! Similar estimates for other types of food are substantially lower – fruits and vegetables are around .25 and .1 W/m^2, respectively, and chicken and beef are around .04 W/m^2 and .02 W/m^2 when accounting for the land to house the animals and grow their food [viii]. Any real diet, then, will have an average no higher than .4 W/m^2 (grain-only diet), and likely closer to .1 W/m^2, going lower with more animal product consumption.

So even though a car ride takes 15-30 times more energy, its fuel source uses at least 25-100 times less land per unit energy, giving driving a lower land footprint than biking, even when comparing a biking vegan to a standard American car.

Of course, there are differences in how fossil fuel extraction and agriculture affect the land they occupy. Images of the tar sands may seem a lot worse than what we think of when we think of farms, but the most land-efficient farms may not really be more attractive (Figure 1). Less land-efficient farms with pasture-roaming animals look gentler on the land, but by taking up more land they also have a harsher impact on large species that they displace (trees, deer, wolves, bears…). There’s no clear-cut answer to which is preferable, but it is clear that fossil fuel extraction uses little land per unit of energy extracted, and that powering our lives with alternative fuels (especially fuels derived from agriculture, like biofuels) will almost surely entail an increase in human appropriation of land.

Figure 1: Do fossil fuels or agriculture have a harsher impact on the land they occupy? Tar sands image from this source, cattle image from this source.

Discussion and Conclusion

There are two important qualifications about the calculations above (besides the fact that the uncertainties are large). The first is that we found biking to have a surprisingly similar impact to driving on a per kilometer basis. But of course, cars enable you to travel much faster and much farther than bikes, so someone with a bike and no car almost surely has a much lower impact by virtue of covering a lot less distance. When I owned a car in rural Virginia I drove 20,000 km/yr, and now that I only own a bike in urban Cambridge, Massachusetts I bike about 1,500 km/yr. And there are lots of other impacts we neglect, like the energy to manufacture cars, or air pollution, or the danger car driving imposes on society.

The second qualification is something I mentioned earlier, the trickiness of equating greenhouse gases. We used the “Global Warming Potential” which adds up the radiative forcing for gases over some time horizon and compares to the sum for CO₂ over that same horizon (we used the standard 100 year horizon). But this completely ignores the radiative forcing after that time horizon; this is important because CO₂ stays in the atmosphere for millennia, while the main other gases we counted, N₂O and CH₄, have lifetimes around 100 and 10 years, respectively. So our equivalence method captured almost all of the climate impacts of N₂O and CH₄ but ignored hundreds of years of CO₂’s influence after this century. There are reasons to think we should care more about short-term warming, since we’ll have an easier time adapting to slower changes farther in the future, but it seems odd to completely neglect everything more than 100 years away. This is a long-contested topic (e.g. see Shoemaker 2013), involving value judgements about the present and distant future, with no clear right answer; keep this in mind when you read calculations of CO₂e that seem very cut-and-dry.

But these qualifications aside, we’ve seen that agricultural impacts on the environment really matter. We didn’t come to quite as strong a conclusion as Michael Pollan once did, but we came pretty close; biking has a surprisingly similar marginal impact to driving on a per kilometer basis, and depending on your diet can cause similar greenhouse gas emissions and more land use. This points to some of the important lessons from our upcoming online course, that there’s no free lunch when it comes to issues of energy and environment, and that it’s really useful to be able to make quantitative estimates of environmental impacts. Our analysis certainly doesn’t prove that you shouldn’t do more biking instead of driving, but it does help us know more clearly the environmental impacts of making the switch.

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References

Berners-lee et al (2012) The relative greenhouse gas impacts of realistic dietary choices. Energy Policy.

Environmental Working Group (2011) Meat Eater’s Guide to Climate Change and Health http://static.ewg.org/reports/2011/meateaters/pdf/methodology_ewg_meat_e…

Fthenakis (2009) Land use and electricity generation: A life-cycle analysis. Renewable and Sustainable Energy Reviews, 13, 1465-1474

Gerbens-Leenes (2002) A method to determine land use requirements relating to food consumption patterns, Agriculture, Ecosystems, and Environment

Geus et al (2006) Determining the intensity and energy expenditure during commuter cycling. British Journal of Sports Medicine

Scarborough (2014) Dietary GHG emissions of meat eaters, fish eaters, vegetarians, vegans in UK, Climactic Change, Vol 125 Issue 2, pp 179-192

http://link.springer.com/article/10.1007/s10584-014-1169-1

Shoemaker (2013) What Role for Short-Lived Climate Pollutants in Mitigation Policy? Science Vol 342, pg 1323-1324

Smil (2015) Power Density: A key to understanding energy sources and uses. MIT Press, Cambridge MA

Swain et al (1987) Influence of body size on oxygen consumption during bicycling.  Journal of Applied Physiology

Weber (2008) Food Miles and the Relative Climate Impacts of Food Choices in the United States

Wilson (2013) The carbon foodprint of 5 diets compared, ShrinkThatFootprint.com accessed May 15 2016 http://shrinkthatfootprint.com/food-carbon-footprint-diet

Vieux et al (2012) Greenhouse gas emissions of self-selected individual diets in France. Ecological Economics

Appendix A

My brief notes on how I arrived at bicycling calories expenditure and carbon intensity of diets here (except for details on Paleo diet estimate, in Appendix B)

  • kcal/km for biking
    • My original of 50 was definitely too high
    • Hard to get a definitive answer, I’m going to go with 25, see details below
    • Most measures are for total calories burned while riding, need to be careful to subtract out calories for “basal” metabolism (calories burned for normal bodily functions, which person would have burned anyway even sitting still) to get additional or “net” kcal burned due to biking
      • I assumed 2600 kcal/day as the basal rate, and already subtracted from numbers below
      • Doing this means we don’t need to look at the calories burned by a person driving
    • Popular online tools like bicycling.com, etc seem to suggest a bit over 25 kcal/km on net for 75 kg individual (US avg for adults) biking 12-15 mph
      • Hard to say what’s the right speed to use, but commuters seem to be around 12-13 mph (see below) and recreational cyclists can be substantially higher
    • The only academic studies I found during a short search measured oxygen consumption during a ride. One I converted to kcal burned by multiplying by 4.76 kcal/liter of oxygen, the other did the conversion themselves. This method will probably be an underestimate b/c it misses anaerobic expenditure and excess post exercise oxygen consumption
      • Swain 1987 studied “experienced” cyclists with racing-style bikes on level ground, so probably a substantial underestimate for our purposes; found ~17 kcal/km on net for riders around 75 kg and 12.5 mph
      • Geus 2006 used a similar method and found ~22 kcal/km on net for commuters weighing ~75 kg and going ~12.5 mph on their actual daily commutes and on their actual bikes
    • I decided to go with 25 kcal/km on net since the academic studies’ methods likely underestimate a bit, but I’m not thrilled with the available data; I think ~18-30 kcal/km is the largest justifiable range, depending on speed, type of bike, terrain, and how much oxygen consumption methods underestimate
  • gCO2e/kcal for diets
    • I originally estimated 2.6 g CO2e/kcal for avg american and 1.6 g for vegan based on two sources (one for total emissions due to diet and one for calories); I made my own estimate for paleo diet based on paleo meal plans and LCA data on the foods therein
    • I divided estimate of total emissions due to diet by total calories consumed, but the estimate of emissions included food waste whereas my estimate of calories consumed did not; thus I overestimated gCO2e/kcal using my sources, by a factor of 3700 kcal [food supply] / 2600 kcal [food consumed]
    • However, after looking more carefully at more rigorous academic sources I think if anything my original estimate might have been a bit low
      • Using emissions and calorie information from Scarborough 2014 we get ~ 2.8 g CO2e/kcal for average person in UK and 1.5 g CO2e/kcal for vegans
      • Using Vieux 2012 (and adjusting for food waste which they ignore, with factor of 3700/2600) we get 2.7 g CO2e/kcal for average person in France
      • Berners-lee 2012 gives ~2.1 g CO2e/kcal for average UK’er and 1.5 g for vegans
      • Scarborough and Vieux ignore post-sale factors (transport of food to home, refrigeration, cooking…); Vieux ignores waste but I adjusted; they all ignore land use change; Berners-lee seems to ignore cooking at first glance
    • Thus I feel pretty comfortable leaving my original estimates for average Americans and vegans alone; my original numbers are close to the averages from those studies above which are probably underestimates
    • My original paleo estimate didn’t account for food waste, so I adjusted upwards (see Appendix B)

Appendix B

Daily food intake of estimated paleo diet adapted from http://paleoleap.com/paleo-meal-plan/. Meat consumption assumed to be ⅓ beef, rest from chicken, fish, and pork. Vegetables assumed to include some high-calorie vegetables like butternut squash. GHG intensities of food from Wilson (2013), Weber (2008), EWG (2011). The total diet related impact is higher than the “direct impact” calculated here due to food waste (for every kcal consumed there’s a bit of food waste); the USDA estimates average US food intake to be about 2600 kcal/day with 1100 kcal/day of additional food waste, so we estimate the total dietary impact of a paleo diet to be 3.8 gCO2e/kcal [direct impact] * 3700/2600 = 5.4 g CO2e/kcal of food consumed. This seems high relative to other diets, but it does involve dramatically more meat and egg consumption than other diets. We use .5 kg/day here which might even be low given that many Paleo meal plans call for meat or eggs at almost all meals and that the US average is already .25 kg/day; .5 kg/day is also much higher than the “high meat consumption” diet from Scarborough 2014, which included all diets over .1 kg/day and had an emissions intensity of 3.6 g CO2e/kcal.

Servings Weight (kg) Caloric Intensity (kcal/kg) Total Calories (kcal) GHG intensity (gCO2e/kcal) GHG Impact (kgCO2e)
Meat 3 .5 2500 1250 6 7.5
Vegetables 5 .9 250 220 3 .66
Oils 1 .08 890 750 1 .75
Nuts 2 .35 6000 200 2.5 .5
Fruit 1 .2 900 180 4 .7
Totals 2600 10

Endnotes

[i] It’s tricky to make a good estimate of these numbers; see Appendix A for my terse notes on how I got to my estimates. For the sake of this simple blog post I think I’m now satisfied with my estimates, but there’s room for disagreement. Let me know if you see anything egregiously wrong, or if you’ve got a substantially better, more thoroughly researched set of estimates for me to plug in.

[ii] Please note that this is only an analysis of the extra calories burned by the bike ride vs the gasoline burned by the car; it doesn’t include analysis of the energy used to make cars, or air pollution, or any of many other factors.

[iii] See Appendix A.

[iv] See Appendix A.

[v] See Appendix B.

[vi] See Appendix A.

[vii] For example, see Fthenkais (2009) and Smil (2015).

[viii] See Gerbens-Leenes (2002); for beef they estimate 21 m^2-yr/kg, or .05 kg/m^2-yr; using 2500 kcal/kg, that’s about 550 kJ/m^2-yr, or .02 Wm^2. Their estimates for vegetables and fruits (.3 m^2-yr/kg and .5 m^2-yr/kg) can similarly be converted to abouve .25 and .1 W/m^2. Their estimate for grains (1.3 m^2-yr/kg) converts to .37 W/m^2, very close to our initial estimate using World Bank data.

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